Triple

T4563363
Position Surface form Disambiguated ID Type / Status
Subject Midnapore E121849 entity
Predicate hasEducationalHeritage P57701 FINISHED
Object yes LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: yes | Statement: [Midnapore, hasEducationalHeritage, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEducationalHeritage
Context triple: [Midnapore, hasEducationalHeritage, yes]
  • A. hasHistoricUniversity
    Indicates that an entity is associated with or contains a university of historical significance.
  • B. containsEducationalInstitution
    Indicates that one entity geographically or administratively includes or encompasses an educational institution within its boundaries or structure.
  • C. followsEducationalTradition
    Indicates that one entity adheres to, continues, or is guided by the established educational practices, principles, or lineage associated with another entity.
  • D. isEducationalCenterOf
    Indicates that an institution functions as the primary educational center serving, representing, or associated with a particular area, organization, or group.
  • E. traditionalInstitution
    Indicates that an entity is a long-established, customary organization or system that embodies and maintains traditional practices or norms.
  • F. None of above. chosen

Provenance (4 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69bd463f156881908a99aca69c5721ac completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd5830b4308190a63699bf28922375 completed March 20, 2026, 2:22 p.m.
PD Predicate disambiguation batch_69bd52254c648190a5144cfe8fa7e409 completed March 20, 2026, 1:56 p.m.
PDg Predicate description generation batch_69bd56f6e75481909c487a94a2c2d0ba completed March 20, 2026, 2:17 p.m.
Created at: March 20, 2026, 1:09 p.m.